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2 रिपॉजिटरी

Awesome GitHub RepositoriesVisual Reference Guidance

Techniques for using external images as direct visual guides for diffusion process attention layers.

Distinct from Diffusion Models: Focuses on direct image-to-attention guiding without pre-trained control models, whereas Diffusion Models are the core architectures.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Visual Reference Guidance. Refine with filters or upvote what's useful.

Awesome Visual Reference Guidance GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • mikubill/sd-webui-controlnetMikubill का अवतार

    Mikubill/sd-webui-controlnet

    17,853GitHub पर देखें↗

    This project is an extension for Stable Diffusion that provides an image-to-image control framework. It serves as a multi-control constraint manager and structural data preprocessor, allowing users to guide the layout and composition of generated images through spatial maps and structural constraints. The system enables multi-constraint image generation by combining several different control inputs to enforce multiple stylistic or spatial rules within a single generation pass. It provides tools for visual image referencing and precise geometric or anatomical templating to ensure generated ima

    Provides a way to guide image generation using an image as a direct visual reference via attention layer linking.

    Python
    GitHub पर देखें↗17,853
  • brycedrennan/imaginairybrycedrennan का अवतार

    brycedrennan/imaginAIry

    8,155GitHub पर देखें↗

    imaginAIry is a system for generating and refining images and videos using diffusion models. It operates as a web-based server that triggers generation requests through standard API calls, allowing for the creation of visuals and video sequences from text prompts or existing files. The project provides a suite for AI image editing and upscaling, enabling the modification of visuals through natural language instructions and super-resolution tools to increase detail and image size. The system includes capabilities for structural image control using depth maps, edge maps, and body poses to main

    Uses external references such as depth maps, edge maps, and body poses to guide visual output and maintain structural consistency.

    Python
    GitHub पर देखें↗8,155
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